Showing 421 - 440 results of 2,209 for search 'Code training', query time: 0.09s Refine Results
  1. 421

    Teaching Science Communication to Master’s Students in STEM by Julian Fick, Friederike Hendriks, Noemi Kumpmann, Barbara Thies

    Published 2025-06-01
    “…Coding videos from short presentations additionally revealed an increase in involvement strategy usage but not in comprehensibility or credibility strategy use. …”
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    Article
  2. 422

    Neural network analysis of small samples using a large number of statistical criteria to test the sequence of hypotheses about the value of mathematical expectations of correlation... by A.I. Ivanov, A.I. Godunov, E.A. Malygina, N.A. Papusha, A.I. Ermakova

    Published 2024-11-01
    “…The networks increase the accuracy of estimates of correlation coefficients when testing the sequence of different statistical hypotheses with a second layer, which eliminates the code redundancy of a large number of neurons of the first layer. …”
    Article
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    Systematic observation to measure teaching quality in different contexts: insights from science lessons, physical education lessons, and sports training using the classroom assessm... by Kathrin Kohake

    Published 2024-10-01
    “…This study aims to evaluate the applicability of the CLASS framework for assessing teaching quality in various contexts in Germany, specifically in science classes, physical education classes, and sports training at the elementary school level. In total, 110 video-recorded observation cycles, each lasting 15–20 min, were double-coded by two independent observers. …”
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    Explosive Strength and Speed as Potential Determinants of Success in Youth Figure Skating Competitions by Jiri Helesic, Michal Lehnert

    Published 2024-12-01
    “…These findings highlight the need for tailored on- and off-ice training that focuses on locomotion and acceleration for younger skaters and dynamic jump training for older skaters.…”
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    Bearing Capacity Prediction of Cold-Formed Steel Columns with Gene Expression Programming by Wei Kong, Shouhua Liu

    Published 2025-05-01
    “…The data were collected from various studies to develop and verify the proposed model, with training and testing sets of 160 and 14, and 2000 and 500, respectively. …”
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    Towards AI education: qualitative analysis of the perceptions of professors at a regional public university by Marcelo Rioseco País, Rodrigo Vargas Vitoria, Cristian Martínez Salazar, Juan Silva Quiroz

    Published 2025-01-01
    “…The collected data were transcribed and coded using the Nvivo 12 Plus software, identifying emerging themes and categories. …”
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    GrotUNet: a novel leaf segmentation method by Hongfei Deng, Hongfei Deng, Bin Wen, Bin Wen, Cheng Gu, Yingjie Fan

    Published 2025-07-01
    “…To address the above problems, this paper proposes GrotUNet, a novel leaf segmentation method that can be trained end-to-end. The algorithm is reconstructed in three aspects: semantic feature coding, hopping connectivity, and multiscale upsampling fusion. …”
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  17. 437

    ’[We] learned how to speak with love’: a qualitative exploration of accredited social health activist (ASHA) community health worker experiences of the Mobile Academy refresher tra... by Amnesty Elizabeth LeFevre, Kerry Scott, Sara Chamberlain, Osama Ummer, Manjula Sharma, Dipanwita Gharai, Bibha Mishra, Namrata Choudhury

    Published 2022-06-01
    “…Open-ended questions explored ASHA perspectives on Mobile Academy, the course’s perceived influence on ASHAs and preferences for future training programmes. After applying a priori codes to the transcripts, we identified emergent themes and grouped them according to our CHW mLearning framework.Results ASHAs reported enjoying Mobile Academy, specifically praising its friendly tone and the ability to repeat content. …”
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    The Combinatorial Fusion Cascade as a Neural Network by Alexander Nesterov-Mueller

    Published 2025-01-01
    “…The combinatorial fusion cascade provides a surprisingly simple and complete explanation for the origin of the genetic code based on competing protocodes. Although its molecular basis is only beginning to be uncovered, it represents a natural pattern of information generation from initial signals and has potential applications in designing more-efficient neural networks. …”
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  20. 440